Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Evidently is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Evidently
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Evidently
Best first install candidate based on install readiness and adoption.
Freshest repo
Evidently
Most recent maintenance signal among this shortlist.
| Signal | Evidently Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. |
|---|---|
| Quality | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 7.6K stars 0 installs |
| Freshness | May 2, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Jupyter Notebook, LLMOps, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add evidentlyai/evidently |